期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2015
卷号：6
期号：8
DOI：10.14569/IJACSA.2015.060821
出版社：Science and Information Society (SAI)
摘要：Recently, the location of the fingerprint positioning technology is obviously superior to the signal transmission loss model based on the positioning technology, and is widely concerned by scholars. In the online phase, due to the efficiency of the probabilistic distribution matching computation is low and when clustering the position fingerprint database, hard clustering lead to degrading the positioning accuracy, a probabilistic algorithm based on fuzzy clustering is proposed and applied to the indoor location fingerprinting positioning. Compared with hard clustering fusion algorithm, the proposed method has realized the fuzzy partition of the database, makes online positioning phase can effectively search the desired fingerprint data, and improve the positioning accuracy. Experiments show that the algorithm can effectively deal with the problem of the positioning accuracy of hard clustering.
